code: def configure_optimizers(self):
      optimizer = SGD(self.parameters(), lr=1e-6)
      return optimizer
  
file_path: underthesea/examples/sentiment/train_gpt2.py
imports: import hydra
  import pytorch_lightning
  from omegaconf import DictConfig
  from torch.optim import SGD
  import torch.nn
  from torchmetrics import F1Score
  from transformers import AutoTokenizer, AutoModelWithLMHead
  from pytorch_lightning.loggers import WandbLogger
  from examples.sentiment.data import MultiLabelClassificationDatamodule
  from underthesea.datasets.uit_absa_hotel.uit_absa_hotel import UITABSAHotel
label_desc: Use image node_id 5 for calling the GPT2TextClassification obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizer